Results 31 to 40 of about 119,525 (201)
Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications [PDF]
, 2011 Real world environments are characterized by high levels of linguistic and numerical uncertainties. A Fuzzy Logic System (FLS) is recognized as an adequate methodology to handle the uncertainties and imprecision available in real world environments and ...
Hagras, Hani, Sahab, Nazanin
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Properties and Structure of Type-2 Neutrosophic Control Point Relation [PDF]
Neutrosophic Sets and SystemsIn recent decades, practitioners and scholars from several fields have increasingly used fuzzy sets as a fundamental tool for characterizing uncertainty data.
Siti Nur Idara Rosli +1 more
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Hybrid intelligent parameter tuning approach for COVID-19 time series modeling and prediction [PDF]
Journal of Fuzzy Extension and Applications, 2022 A novel hybrid intelligent approach for tuning the parameters of Interval Type-2 Intuitionistic Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus disease 2019 (COVID-19) time series. COVID-19 is known to be a virus
Imo Eyo +3 more
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Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition [PDF]
, 2017 Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017.
Ramalingam, Soodamani
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Journal of Applied Mathematics, 2014 This paper investigates an approach to multiple attribute group decision-making (MAGDM) problems, in which the individual assessments are in the form of triangle interval type-2 fuzzy numbers (TIT2FNs).
Jindong Qin, Xinwang Liu
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Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]
, 2011 Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad +5 more
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From Interval-Valued Data to General Type-2 Fuzzy Sets [PDF]
IEEE Transactions on Fuzzy Systems, 2015 In this paper, a new approach is presented to model interval-based data using fuzzy sets (FSs). Specifically, we show how both crisp and uncertain intervals (where there is uncertainty about the endpoints of intervals) collected from individual or multiple survey participants over single or repeated surveys can be modeled using type-1, interval type-2,
Wagner, Christian +4 more
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Technological and Economic Development of Economy, 2017 The theory of interval type-2 fuzzy sets provides an intuitive and computationally feasible method of addressing uncertain and ambiguous information in decision-making fields.
Ting-Yu Chen
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Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets
, 2017 In this paper we deal with the problem of extending Zadeh's operators on fuzzy sets (FSs) to interval-valued (IVFSs), set-valued (SVFSs) and type-2 (T2FSs) fuzzy sets.
Lobillo, F. J. +3 more
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Data granulation by the principles of uncertainty [PDF]
, 2015 Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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